This paper presents a global scheme for 3D face reconstruction and face segmentation into a limited number of analytical patches from stereo images. From a depth map, we generate a 3D model of the face which is iteratively deformed under stereo and shape-from-shading constraints as well as differential features. This model enables us to improve the quality of the depth map, from which we perfor...

Purpose Treatment for head and neck cancer can impair speech and swallowing, and can disfigure the face. Reconstructive surgery can restore some facial function and ameliorate disfigurement, thereby helping patients to psychosocially adjust. However, current surgical reconstruction techniques may not fully restore a patient's pre-cancerous appearance. Therefore, it is important to understand th...

A sample-relaxed two-dimensional color principal component analysis (SR-2DCPCA) approach is presented for face recognition and image reconstruction based on quaternion models. A relaxation vector is automatically generated according to the variances of training color face images with the same label. A sample-relaxed, low-dimensional covariance matrix is constructed based on all the training sam...

bACKGROUND: Acquired facial deformity can result from trauma, burns, and tumor resection. Conventional techniques such as skin grafts, local flaps, free flaps, tissue expansion, and prosthetic reconstruction provide satisfactory outcomes in most patients in need of facial reconstruction. However, final outcomes remain unsatisfactory in a number of cases, both from a functional and an aesthetic ...

Reconstructing a 3Dmodel of a human face fromamonocular video sequence is an important problem in computer vision, with applications to recognition, surveillance, multimedia, etc. However, the quality of 3D reconstructions using structure frommotion (SfM) algorithms is often not satisfactory. One of the reasons is the poor quality of the input video data. Hence, it is important that 3D face rec...

On single sample condition, current face recognition algorithm yields serious performance drop or even fail to work, therefore a face recognition algorithm based on LGBP and locality preserving discriminant analysis (LPDA) was proposed. Image enhancement and geometric transformation were firstly introduced to single sample face image for face reconstruction, making reconstruct image and origina...

We propose a method for synthesizing face views with arbitrary poses and expressions combining multiple face images. In this method, arbitrary views of a 3-D face can be generated without explicit reconstruction of its 3-D shape. The 2-D coordinate values of a set of feature points in an arbitrary facial pose and expression can be represented as a linear combination of those in the input images...

In this paper, a unified framework for classifying facial attributes is presented. Facial Attribute-Specific Subspace (FASS) is firstly proposed to represent each specific facial attribute. Then a framework is provided to classify facial images based on FASS and the Minimum Reconstruction Error (MRE) rule. The proposed framework is motivated by, but essentially different from the conventional E...

This study develops a 3D facial reconstruction system, which consists of five modules, using the orthographic projection model to approximate the perspective projection model. The first module identifies a number of feature points on the face and tracks these feature points over a sequence of facial images by the optical flow technique. The second module applies the factorization method to the ...

In this paper, we study the problem of reconstructing the polyhedral structures and geometric positions of a general nD polyhedral scene from a single 2D line drawing. With the idea of local construction and propagation, we propose several powerful techniques for structural reconstruction (i.e. face identification) and geometric reconstruction (i.e. realizability and parametrization). Our struc...